awesome-repositories.com
Blog
awesome-repositories.com

Descubre los mejores repositorios open-source con nuestra búsqueda potenciada por IA.

ExplorarBúsquedas curadasAlternativas open-sourceSoftware autohospedableBlogMapa del sitio
ProyectoAcerca deCómo clasificamosPrensaServidor MCP
Aviso legalPrivacidadTérminos
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

1 repositorio

Awesome GitHub RepositoriesVector Component Aggregators

Functions for calculating sums, products, or extremes across vector components.

Distinct from Vector Aggregation: Distinct from Vector Aggregation: focuses on component-wise aggregation within a single vector rather than group-level vector summaries.

Explore 1 awesome GitHub repository matching data & databases · Vector Component Aggregators. Refine with filters or upvote what's useful.

Awesome Vector Component Aggregators GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • g-truc/glmAvatar de g-truc

    g-truc/glm

    10,710Ver en GitHub↗

    This project is a header-only C++ library designed for graphics mathematics, providing a comprehensive suite of vector, matrix, and quaternion types. It is built using template metaprogramming to generate mathematical primitives at compile time, eliminating the need for precompiled binary libraries and allowing for direct integration into existing build systems. The library is distinguished by its strict adherence to the OpenGL Shading Language specification, ensuring that mathematical results remain consistent across both CPU and GPU code. It provides specialized utilities for managing float

    Calculates sum, product, minimum, or maximum values across all components within a single vector.

    C++cppcpp-libraryglm
    Ver en GitHub↗10,710
  1. Home
  2. Data & Databases
  3. Vector Databases
  4. Vector Aggregation
  5. Vector Component Aggregators

Explorar subetiquetas

  • Vector ProjectionsCalculates the projection of one vector onto another to determine directional components. **Distinct from Vector Component Aggregators:** Distinct from Vector Component Aggregators: focuses on geometric projection math rather than component-wise aggregation.